code: def __init__(
      self, in_feats, n_hidden, out_feats, nclass, dropout=0.2, nlayer=2
  ):
      super(GCN, self).__init__()
      self.body = GCN_Body(
          in_feats, n_hidden, out_feats, dropout, nlayer
      )
      self.fc = nn.Sequential(
          nn.Linear(out_feats, n_hidden),
          nn.ReLU(),
          nn.Linear(n_hidden, nclass),
      )
  
file_path: DIG/dig/fairgraph/method/Graphair/GCN.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn import init
  import torch
label_desc: Use image node_id 1 to create a new GCN object from inherited base classes: nn with example: obj = GCN(in_feats, n_hidden, out_feats, nclass, dropout, nlayer)